On the optimal parking lot subscription policy problem: a hybrid simulation-optimization approach

被引：6
|
作者：
Akhavan-Tabatabaei, Raha [1 ]
Bolivar, Manuel A. [1 ]
Hincapie, Jorge A. [1 ]
Medaglia, Andres L. [1 ]
机构：
[1] Univ Los Andes, COPA, Dept Ingn Ind, Bogota, Colombia
来源：
ANNALS OF OPERATIONS RESEARCH | 2014年 / 222卷 / 01期
关键词：
Simulation optimization; Discrete-event simulation; Revenue management; Service industries; REVENUE MANAGEMENT;
D O I：
10.1007/s10479-012-1208-0
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Parking lots in most major cities service at least two very distinct types of (market) segments: the first one, comprised of non-subscribed (drive-in) customers that pay variable (higher) fees according to their time in the lot; and the second one, comprised of subscribed customers who pay a fixed (flat) discounted rate. Thus, parking lot operators face the decision of how many subscriptions to sell in order to maximize their revenue, taking into account that denial of service (lack of available parking spots) produces negative effects on their long-term success. In this paper, we develop an approximate solution for this problem based on integer programming and discrete-event simulation techniques and apply our approach to a case study in the city of Bogota.
引用
收藏
页码：29 / 44
页数：16
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